> For the complete documentation index, see [llms.txt](https://dgpt.gitbook.io/dgpt-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dgpt.gitbook.io/dgpt-docs/product-overview/dgpt-delivers-new-value-in-three-ways.md). # DGPT delivers new value in three ways 1\. Decentralised Arithmetic Provides Global Demand for AI Arithmetic: Through the Decentralised Arithmetic platform, arithmetic resources around the world can be pooled to provide sufficient computing power for AI model training and inference. This monetisation of arithmetic will create new cash flows and enable idle arithmetic devices to be fully utilised, while meeting the global demand for large-scale AI computing. The benefits of decentralised arithmetic include increased computing power, fault tolerance and resource utilisation, providing strong support for the development and application of AI models. 2\. User Participation in #AItoEarn Models: Users can get paid to participate in model training by joining #AItoEarn models and using their idle arithmetic. This participation enables users to convert idle arithmetic into financial gain while contributing to the training and development of intelligent models. Users can participate in the training of smarter models through tasks or projects provided by the platform, thus further increasing their earnings and participation. 3\. Providing data and proprietary AI services to enterprises: global enterprises in various industries, such as healthcare, insurance, finance, advertising, education, etc., will receive data and proprietary AI services from such models.The development of AI models will enable enterprises to leverage large-scale data and advanced algorithms to optimise business processes, improve decision-making, provide personalised services, and so on. By connecting to decentralised arithmetic platforms, businesses can leverage the capabilities of these models to create higher value and competitive advantage for themselves. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://dgpt.gitbook.io/dgpt-docs/product-overview/dgpt-delivers-new-value-in-three-ways.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.